Jeong-Hyun Yoon
Yonsei University · 医学
研究室紹介
Professor Jeong-Hyun Yoon's research lab specializes in medical imaging and diagnostic radiology, with a focus on improving the accuracy and efficiency of thyroid and breast cancer detection. The lab investigates advanced ultrasound and elastography techniques, artificial intelligence applications in mammography and breast ultrasound, and the integration of computer-aided diagnosis systems to enhance diagnostic performance across varying levels of radiologist expertise. Research also emphasizes risk stratification tools such as TI-RADS and ATA guidelines, aiming to refine preoperative evaluation and reduce diagnostic uncertainty in large thyroid nodules. The lab is at the forefront of applying deep learning and AI algorithms to medical imaging to improve early detection, reduce interpretation time, and support precision patient management.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Both TIRADS and the ATA guidelines provide effective malignancy risk stratification for thyroid nodules. Nodules that do not meet the criteria for a specific pattern with the ATA guidelines have a relatively high risk of malignancy (18.2%).
Background There is considerable interest in the potential use of artificial intelligence (AI) systems in mammographic screening. However, it is essential to critically evaluate the performance of AI before it can become a modality used for independent mammographic interpretation. Purpose To evaluate the reported standalone performances of AI for interpretation of digital mammography and digital breast tomosynthesis (DBT). Materials and Methods A systematic search was conducted in PubMed, Google
Elastography improves the specificity, positive predictive value, and accuracy of ultrasound. However, significant interobserver variability exists, with real-time elastographic performance showing fair agreement.
BACKGROUND: Although fine-needle aspiration biopsy (FNAB) is considered the standard for preoperative evaluation of thyroid nodules, the value of this has been questioned for large thyroid nodules. Here, we evaluated the diagnostic accuracy of ultrasound-guided FNAB (US-FNAB) for thyroid nodules that were 3 cm or larger as well as the sonographic differences between benign and malignant nodules in this size group. MATERIALS AND METHODS: There were 661 thyroid masses equal to or larger than 3 cm
During the past decade, researchers have investigated the use of computer-aided mammography interpretation. With the application of deep learning technology, artificial intelligence (AI)-based algorithms for mammography have shown promising results in the quantitative assessment of parenchymal density, detection and diagnosis of breast cancer, and prediction of breast cancer risk, enabling more precise patient management. AI-based algorithms may also enhance the efficiency of the interpretation
OBJECTIVES: To investigate the feasibility of a computer-aided diagnosis (CAD) system (S-Detect; Samsung Medison, Co, Ltd, Seoul, Korea) for breast ultrasonography (US), according to radiologists with various degrees of experience in breast imaging. METHODS: From December 2015 to March 2016, 119 breast masses in 116 women were included. Ultrasonographic images of the breast masses were retrospectively reviewed and analyzed by 2 radiologists specializing in breast imaging (7 and 1 years of experi
Purpose To investigate the diagnostic performances of six guidelines used to assess thyroid nodules and to determine whether any of these guidelines identify cancers of aggressive form in this population. Materials and Methods From March 2007 to February 2010, 4696 thyroid nodules that were 1-2 cm in 4585 patients were diagnosed as benign or malignant on the basis of cytopathologic results. Ultrasonographic examinations of the thyroid nodules were retrospectively reviewed and categorized accordi
BACKGROUND: Polydioxanone (PDO) sutures have been widely used to tighten and lift the face. However, why the complexion brightens and skin elasticity is maintained with a smaller facial outline after a PDO monofilament thread treatment remains unclear. AIMS: We aimed to determine what significant changes occur in the tissue over time when a PDO suture is inserted. METHODS: We selected four White Yucatan variety pygmy pigs with skin that most closely resembles the structure of human skin. 4-0 PDO
Fine needle aspiration (FNA) is currently accepted as an easy, safe, and reliable tool for the diagnosis of thyroid nodules. Nonetheless, a proportion of FNA samples are categorized into non-diagnostic or indeterminate cytology, which frustrates both the clinician and patient. To overcome this limitation of FNA, core needle biopsy (CNB) of the thyroid has been proposed as an additional diagnostic method for more accurate and decisive diagnosis for thyroid nodules of concern. In this review, we f
OBJECTIVE: The purpose of this study was to evaluate the sonographic findings of the follicular variant of papillary thyroid carcinoma (FVPTC) and to assess the role of preoperative fine-needle aspiration biopsy (FNAB). METHODS: The sonographic findings of 27 thyroid nodules in 26 patients (2 male and 24 female; mean age, 45 years) with surgically proven FVPTC were reviewed retrospectively. Findings were categorized according to the echogenicity, margin, shape, and presence of microcalcification
Research Areas
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